Vermell
The Story of Vermell
Vermell first appeared in U.S. Social Security Administration records as a baby girl name in 1908, with 5 babies given the name that year. The name hit its high-water mark in 1926: 25 births, good for #1,667 nationwide. About 25% of every Vermell on record arrived during the 1920s, its defining decade. Vermell last appeared in the published SSA data in 1977, with 5 recorded births — it has not charted nationally since. All told, over 726 Americans have carried the name since 1880, from the 1900s to the 2020s.
Popularity Over Time
Popularity by State
Names that sound like Vermell
Phonetically similar names — useful when Vermell is the vibe but a different syllable count or letter feel might suit better. Linked entries have a profile on Peek a Name.
Source: Datamuse . Phonetic similarity ranking, not curated.
Frequently Asked Questions about Vermell
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About the name Vermell
Vermell is a girl baby name tracked by the U.S. Social Security Administration. It first appeared in SSA records in 1908 and has accumulated 726 births in the dataset. Vermell's peak popularity came in 1926 when it ranked #1,667. Use the chart and map above to compare Vermell's trajectory across years and U.S. states, or browse the related names section to discover similar choices.
Continue exploring
- Top names of 1926 →
- Names of the 1920s →
- Names starting with "V" →
- Browse all girl names →
- Top names of 2026 →
Data sources
- Birth statistics (counts, ranks, years 1880–2026) — U.S. Social Security Administration . Predictions for years not yet released by SSA are computed by Peek a Name from historical trends; we update with official data as soon as it ships.
- Etymology, cultural origins, and related forms — Behind the Name (used under their public API terms).
- Meaning prose and editorial summary — Wikipedia article extracts, licensed under CC BY-SA 3.0 .
- Predicted nationality distribution — Nationalize.io .
- Phonetically similar names — Datamuse .
Peek a Name aggregates and presents the above data for informational purposes. Statistical predictions and external attributions are clearly labelled where shown; we make no guarantee of accuracy beyond what each source provides.